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Systematic characterization of mutations altering protein degradation in human cancers.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Tokheim, Collin 
Wang, Xiaoqing 
Timms, Richard T 
Zhang, Boning 
Mena, Elijah L 

Abstract

The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in human cells. The UPS is an attractive target for novel cancer therapies, but the precise UPS genes and substrates important for cancer growth are incompletely understood. Leveraging multi-omics data across more than 9,000 human tumors and 33 cancer types, we found that over 19% of all cancer driver genes affect UPS function. We implicate transcription factors as important substrates and show that c-Myc stability is modulated by CUL3. Moreover, we developed a deep learning model (deepDegron) to identify mutations that result in degron loss and experimentally validated the prediction that gain-of-function truncating mutations in GATA3 and PPM1D result in increased protein stability. Last, we identified UPS driver genes associated with prognosis and the tumor microenvironment. This study demonstrates the important role of UPS dysregulation in human cancer and underscores the potential therapeutic utility of targeting the UPS.

Description

Keywords

Cell Line, Tumor, Deep Learning, HEK293 Cells, Humans, Models, Genetic, Mutation, Neoplasm Proteins, Neoplasms, Proteolysis

Journal Title

Mol Cell

Conference Name

Journal ISSN

1097-2765
1097-4164

Volume Title

81

Publisher

Elsevier BV
Sponsorship
Wellcome Trust (201387/Z/16/Z)